An Investigation into Teachers' Perceptions towards Digital Transformation in Teaching and Learning

Industry 4.0 has occurred and impacted many industries. Along with that are the heavy effects of the Covid-19 pandemic taking place globally. The dual impact on education is so great that the shift to compulsory online instruction has already taken place. And on that basis, universities and colleges promote their own educational digital transformation programs. The context of this study is a vocational college in which digital transformation has been applied for several years. This research aims to survey teachers' opinions about the implementation of digital transformation as well as their intention to continue teaching online in the future. The research method used in this study is a simple statistical method of data through an online survey via Google Form. The survey results show that the initial digital transformation process has received a lot of positivity and satisfaction from the teachers and students at the institution and the intention to continue implementing digital transformation in the future. © 2022 ACM.

Abdominal Aortic Occlusion in Setting of Covid-19

Introduction: The incidence of arterial thrombosis among critically ill patients with COVID-19 is 4.4%, acute aortic obstruction alone having a mortality rate of 31%. We present a review of the literature regarding isolated abdominal aortic thrombosis (IAAT) in the setting of COVID-19 infection, as well as a case presentation. Method(s): A literature review was performed using Pubmed with the keywords, aorta, aortic, thrombus, and Covid-19. Within these articles, the scope was narrowed to articles that related to IAAT in the setting of Covid-19 infection. Result(s): Our literature review found 9 articles detailing a total of 11 cases of IAAT in the setting of COVID-19 infection. IAAT had a mortality 22% (2 out of 9 patients). Approximately, 55% (6 out of 11) of the patients were treated with surgery and 27% (3 out of 11) received anticoagulation. 73%, (8 out of 11) of the patients in our literature review presented with symptoms of acute limb ischemia. Ages ranged from neonate to 85 years old, though 82% (9 out of 11) were over the age of 50. Conclusion(s): Our literature review suggests that IAAT is a serious complication of COVID-19 infection. IAAT is more common in males and people over the age of 50, which aligns with the 52 year- old male patient who presented to our clinic with lower extremity claudication and bilateral 1st & 5th toe cyanosis after COVID-19 infection. To prevent devastating limb ischemia, we emphasize early evaluation of claudication symptoms in patients with COVID-19 or recent COVID-19 infection.

Natural resources and financial development: Role of corporate social responsibility on green economic growth in Vietnam

In this study, the relationship among natural resources, financial development, and the role of corporate social responsibility (CSR) on green economic growth in Vietnam has been analyzed. We have applied the Pooled Mean Group-Autoregressive Distributed Lag (PMG-ARDL) model to assess this relationship for the period of 1990-2018. The Johansen-Fisher panel cointegration and Kao tests show that the variables are cointegrated. Accordingly, CSR, the PMG-ARDL findings, financial development, and natural resources development all have a long-term positive association but a short-term negative relationship with green economic growth. If efficient fiscal and financial management measures are not implemented, the panel nations' public debt sustainability will be jeopardized due to CSR's overreliance on natural resources rents (NRR). Natural resources may have a detrimental impact on financial growth if laws are not implemented. CSR regulations in Vietnam may reduce greenhouse gases (GHG) emissions and promote green economic growth. If this criterion is met, NRR-related improvements in financial development may be sustained, and relevant policy recommendations may be made.

Online Content About Prenatal Tdap Vaccination Using Reddit

Purpose of Study The Centers for Disease Control and Prevention (CDC) reported in 2017 that only 50.4% of pregnant women received the Tdap vaccination to protect their newborns from pertussis;21.7% were unaware they needed it and 18.3% were concerned about adverse effects on their baby. This study investigated common concerns women expressed online regarding Tdap in pregnancy and assessed accuracy of online content using Reddit, a popular discussion website. Methods Used We used Reddit's built-in search engine to find user-generated posts by searching key words related to Tdap vaccination in pregnancy. Using the same keywords, we also searched commonly appearing subreddits, which are online communities within Reddit dedicated to topics. Working backwards from February 29, 2020 (to avoid COVID issues), we evaluated posts and comments that met the following inclusion criteria: posts from U.S. users with at least 10 comments;posts and comments focused on Tdap in pregnancy. Comments from automated bots or users outside the U.S. were excluded. Using the idea of saturation, Reddit posts with over 50 comments were analyzed until the 50th comment or until 4 subthemes were found. The CDC guidelines were used to judge accuracy. Summary of Results 100 Reddit posts with 2872 comments between February 2020 to October 2018 were included in the study. 74 Reddit posts sought advice on Tdap vaccination, safety/side effects, and who need Tdap. Out of the 2872 comments, 115 contained inaccurate content;96% of those related to the recommended frequency of the pertussis vaccination. Common themes within the comments included: cocooning (a strategy to protect infants by vaccinating close contacts);why and when pregnant women should get Tdap;and side effects. The most prevalent subtheme pertained to visitation rules for those who declined Tdap. Few comments reflected more extreme opinions, such as 'only illegal immigrants have pertussis.' Conclusions Although most pregnant women on Reddit support the recommendation for Tdap in pregnancy, some users report inconsistent information received from their clinicians. Confusion still remains about who should receive Tdap. There is potential for improved patient education provided by clinicians to ensure their pregnant patients have accurate and complete information about Tdap.

Telehealth experiences in Canadian veterans: associations, strengths and barriers to care during the COVID-19 pandemic.

INTRODUCTION: Identifying barriers to care in veteran populations is critical, as veterans face increased social isolation, relationship strains and financial insecurities. For Canadian veterans experiencing barriers to accessing healthcare, telehealth may be a promising alternative with comparable effectiveness to in-person services; however, the potential benefits and limitations of telehealth require further examination to determine its long-term utility, and to inform health policy and planning. The goal of the present research was to identify predictors and barriers to telehealth usage in Canadian veterans in the context of the COVID-19 pandemic. METHODS: Data were drawn from baseline data of a longitudinal survey examining the psychological functioning of Canadian veterans during the COVID-19 pandemic. Participants were 1144 Canadian veterans aged 18-93 years (Mage=56.24, SD=12.92; 77.4% men). We assessed reported telehealth use (ie, for mental healthcare, physical healthcare), healthcare access (ie, difficulty accessing care, avoidance of care) and mental health and stress since the beginning of the COVID-19 pandemic, sociodemographic variables and open-ended responses about telehealth experiences. RESULTS: Findings suggest that sociodemographic factors and previous telehealth use were significantly associated with telehealth use during the COVID-19 pandemic. Qualitative evidence highlighted both the benefits (eg, reducing barriers of access) and drawbacks (eg, not all services can be delivered) of telehealth services. CONCLUSIONS: This paper provided a deeper understanding of Canadian veterans' experiences with accessing telehealth care during the COVID-19 pandemic. While for some, the use of telehealth mitigated perceived barriers (eg, safety concerns of leaving home), others felt that not all health services could be appropriately carried out through telehealth. Altogether, findings support the use of telehealth services in increasing care accessibility for Canadian veterans. Continued use of quality telehealth services may be a valuable form of care that extends the reach of healthcare professionals.

Should Physical Education be Taught Online Post Covid-19?

The purpose of this study is to collect students' opinions at a vocational college in Vietnam and find out students' preferences about online learning which was an alternative method as a consequence of the COVID-19 pandemic. This shift in education from traditional classroom learning to online learning at nearly all levels of education in Vietnam can be considered as the biggest teaching method change to date. As online learning has become more popular in Vietnam due to the COVID-19 pandemic, research is needed to understand student experiences and most importantly reveal views on students' online learning preferences. This study is designed to understand the views, challenges and attitudes about online learning being carried out in a vocational college with simple descriptive statistics research method. Data were collected from 140 students via an online survey system. The survey results show that students face many challenges in terms of networking, interaction between lecturers and students as well as limited direct contact with friends and the percentage of students who do not like online learning is rather high. However, according to the students in this survey, online learning provides many advantages in terms of increasing students' autonomy as well as increasing the number of tech-savvy students. © 2022 IEEE.

Reserve army of Ho Chi Minh City: migrant workers in the Ho Chi Minh City's industrial parks and processing export zones under the impacts of COVID-19 pandemic

COVID-19 appeared in Vietnam in January 2020. The World Health Organization (WHO) officially announced the Covid-19 pandemic caused by the new strain of Coronavirus (SARS-CoV-2) around the globe on 1-3-2020. From 1-4-2020, Vietnam introduced social distancing to prevent the spread of the disease in society, affecting every social class, including ‘internal' migrant workers who were often formerly farmers. This paper reports on research evaluating the impact of the pandemic on the internal migrant ‘reserve army of labour' now working in industrial parks (IPs) and export processing zones (EPZs) in Hanoi and Ho Chi Minh City. Internal migrant workers make up the majority of employees, at 70% to 85.5% and this article offers a chance to evaluate Marxist categories of work, along with the point of view of the systems and social network approaches, to understand how the COVID-19 pandemic impacts production activities at IPs & EPZs. The paper asks how management of workplaces in the face of the pandemic imposed coping strategies affecting levels of employment and lives of migrant workers at EPZs and IPs. Looking especially at migrant workers' strategies in facing the challenges of the pandemic, the use of Marx's "floating, latent and stagnant” categories of the "reserve army of labour” is reconsidered on the basis of information from available statistical data and from detailed interviews and observations in the Project "Improving the effectiveness of dialogue and collective bargaining in private enterprise and foreign directed investment enterprises in HCMC” under a grant from the Ho Chi Minh City Science and Technology Development Fund, 2020-22 - HCMFOSTED. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

The impacts of capital inflows on bank lending in the ASEAN-6 countries

Purpose: The authors investigate the impacts of international capital inflows on bank lending in the Association of Southeast Asian Nations-6 (ASEAN-6) countries on the dynamics of both bank loan volumes and credit risk-taking. The authors further explore the heterogenous impacts of different components of the foreign capital. As a robustness check, the authors also examine the role of crisis periods and agency problem on the relationship between international capital inflows and bank lending. Design/methodology/approach: The authors explore the impacts of international capital inflows on bank lending in the ASEAN-6 countries, including Malaysia, Indonesia, Thailand, Philippines, Singapore and Vietnam. The authors employ quarterly data from 2005Q1 to 2021Q2 from 45 commercial banks in the ASEAN-6 countries. The article uses bank-fixed and time-fixed effects in the panel dataset to account for any unobserved heterogeneity. Findings: The authors find that capital inflows to the ASEAN-6 countries are associated with higher bank loan growth and lower loan loss provisions to net interest income ratios. Moreover, the positive relationships between capital inflows to the bank loan growth and credit risk-taking are mainly driven by the dynamics in foreign direct investments (FDIs) and other inflow (OI) components. Contrary to the global financial crisis (GFC), the authors note that the mediating role of capital inflows on bank lending is of particular importance in the COVID-19 pandemic. Research limitations/implications: This study has some limitations that provide vendors for future research. First, while the authors focus on the impact of capital inflows on bank-level lending activities, future research can also explore the role of foreign capital on bank efficiency and financial stability. Second, although foreign capital fluctuates the most during crisis periods, the movement of capital inflows is also sensitive to other periods of heightened global uncertainty. Thus, rather than focus on the behavior of foreign capital during crisis periods, future research can examine and explore the impacts of capital inflows in different periods of "stop” and "surge” for sudden contraction and boom in capital inflows to the ASEAN-6 countries. Originality/value: First, the authors provide a comprehensive analysis of international capital inflows' impact on bank lending in the ASEAN region on both bank loan volumes and credit risk-taking. Second, the authors provide evidence of the impact of different forms of foreign capital on the bank lending. Third, the authors investigate the heterogeneous impact of foreign capital on crisis periods and bank sizes, which the authors emphasize the unusual characteristics of the COVID-19 crisis compared with the GFC. © 2023, Emerald Publishing Limited.

The COVID-19 Pandemic and Factors Influencing the Destination Choice of International Visitors to Vietnam

The Association of Southeast Asian Nations (ASEAN) is an attractive tourist destination with diverse and unique experiences, in which Vietnam is considered one of the most famous destinations in this region. Quality evaluations and strategies for attracting international tourists are being thoroughly researched. However, the COVID-19 pandemic has had the most significant impact on the tourism industry, which has suffered greatly. Therefore, the recovery and expansion of international tourism necessitate the employment of tourism-related businesses and service sector workers. Extensive research must be conducted to identify solutions and new directions to recover the international tourist market's growth as quickly as possible. This study identifies the factors that influence the destination of international visitors visiting Vietnam after the COVID-19 pandemic by modifying and evaluating the scales of the theoretical model. Using the convenience sampling technique, data were collected through interviews with 208 international visitors, with 29 observed variables. Using SPSS 22.0, five factors influencing international visitors' decisions to visit Vietnam were revealed: tourist motivation, tourist attitude, destination image, social media, and environmental quality. Finally, the authors provide policy recommendations to enhance the allure and viability of Vietnam's tourism following the effects of the COVID-19 pandemic. This study's outcome is intended to establish the importance of the many variables influencing the choice of destination for international visitors. © 2022 by the authors.

Firm-Specific Determinants of Firm Performance in the Hospitality Sector in India

The hospitality sector has been one of the worst-hit industries due to the onset of the COVID-19 pandemic, followed by nationwide lockdowns and curfews. Further, other factors, including the Russia–Ukraine war, commodity price rise, and recession, have acted as hurdles in the slow recovery process. Policy experts at different forums have advocated for proactive and robust measures by the government to reduce adverse impacts during these unprecedented times. To design such measures, determining the firm-specific factors that significantly impact their profitability is essential. In this context, this study tries to understand firm-specific factors that affect the hospitality sector's performance in India. It also explores whether the firm-specific characteristics have changed over time due to changes in political regimes and differ between private and publicly listed companies. Using a sample of 440 public and private hospitality firms for 11 years (2010–2020) and after controlling for unobserved heterogeneity using firm fixed effects, we tested the relationship between firm characteristics and performance. The estimation results demonstrate that the net asset turnover, liquidity, foreign earnings intensity, and age have significant, positive impacts on profitability. In contrast, solvency and size have negatively impacted firm performance. Further, we found differences in the magnitudes of coefficients for private and publicly listed companies. The findings provide important implications for managers and regulators to stimulate new solutions to overcome the ongoing difficult period. © 2022 by the authors.

A Correct Face Mask Usage Detection Framework by AIoT

The COVID-19 pandemic, which affected over 400 million people worldwide and caused nearly 6 million deaths, has become a nightmare. Along with vaccination, self-testing, and physical distancing, wearing a well-fitted mask can help protect people by reducing the chance of spreading the virus. Unfortunately, researchers indicate that most people do not wear masks correctly, with their nose, mouth, or chin uncovered. This issue makes masks a useless tool against the virus. Recent studies have attempted to use deep learning technology to recognize wrong mask usage behavior. However, current solutions either tackle the mask/non-mask classification problem or require heavy computational resources that are infeasible for a computational-limited system. We focus on constructing a deep learning model that achieves high-performance results with low processing time to fill the gap in recent research. As a result, we propose a framework to identify mask behaviors in real-time benchmarked on a low-cost, credit-card-sized embedded system, Raspberry Pi 4. By leveraging transfer learning, with only 4-6 h of the training session on approximately 5,000 images, we achieve a model with accuracy ranging from 98 to 99% accuracy with the minimum of 0.1 s needed to process an image frame. Our proposed framework enables organizations and schools to implement cost-effective correct face mask usage detection on constrained devices.

The effect of corporate governance elements on corporate social responsibility reporting of listed companies in Vietnam

This paper examines the impact of various corporate governance characteristics on the disclosure of corporate social responsibility (CSR) information in the context of developing markets during the COVID-19 pandemic. We used data from the annual reports of the top 100 companies listed on the Ho Chi Minh Stock Exchange from 2019 to 2021 to investigate the relationship between board independence, board size, CEO duality, foreign ownership, government ownership, and the disclosure level of CSR reporting. We employed a content analysis to measure CSR disclosure level by using the CSR reporting index (CSRRI) with 17 items. The panel regressions including three techniques like the pooled-ordinary least squares (OLS), fixed effects model (FEM), and random effects model (REM), were used to analyze the data, and FEM) shows its best fit to the model. The results suggest that board independence and government ownership correlate positively and significantly with companies' decisions to disclose CSR information. In contrast, board size, CEO duality, foreign ownership and was found to be insignificant. Our study extends the literature on CSR particularly in developing countries where governments play a significant role in promoting economic development. It also evaluates the CSR disclosure level of the top listed companies in Vietnam. Since then, the paper's results provide several insights to the policymakers to identify the corporate governance characteristics that will promote CSR reporting in Vietnam's listed companies.

The impact of digital competence on telehealth utilization

Objectives: Telehealth use has increased steadily since the mid-2000′s when technology shifted from voice-only systems to live video-conferencing and other technologies supported by broadband Internet. More recently, the COVID-19 pandemic has resulted in exponential growth in telehealth use. As telehealth systems become increasingly complex and gain widespread adoption, this study explores how users' digital competences affect telehealth use. Methods: We apply a series of multivariate logit models to a representative sample of California adults with Internet access surveyed in early 2021. We estimate the impact of self-reported digital competence–using items from the digital skills assessment scale–on a participant's likelihood of telehealth use during the COVID-19 pandemic as well as the likelihood to continue using telehealth beyond the pandemic. Results: The findings show that a one-unit increase in digital competence is associated with 72.8% greater odds of telehealth use (p <0.001) and 71.6% greater odds of willingness to continue using telehealth services beyond the pandemic (p<.01). We also found that greater social and economic capital generally were associated with increased odds of telehealth use. Conclusions: Improving access to telehealth will require solutions addressing both the first level (i.e., access to broadband and devices) and the second level (i.e., skills and attitudes towards the internet) of digital inequality. Policies and programs seeking to expand internet access must be coupled with investments in digital upskilling and training. Those with limited digital competence will face continued barriers in navigating telehealth systems, further exacerbating disparities in healthcare access and outcomes. Public Interest Summary: Digital competence is the ability and confidence to apply one's knowledge and skills to perform tasks through information technology, including computing devices and the internet. This study explores the relationship between digital competence and telehealth use among those with broadband internet access at home. Telehealth has become increasingly common due to its cost-effectiveness and accessibility for patients unable to visit healthcare facilities. Though the COVID-19 pandemic has contributed to a significant increase in telehealth use, it is expected that telehealth services will continue to expand after the pandemic subsides. In our analysis of California adults, a year into the pandemic, we find those with greater digital competence are more likely to have used telehealth during the pandemic. Further, among telehealth users, those with greater digital competence are more likely to continue using telehealth beyond the pandemic. Addressing disparities in healthcare access and outcomes will require improving potential users' digital competence.

On the volatility of WTI crude oil prices: A time-varying approach with stochastic volatility

This study investigates the impacts of crude oil-market-specific fundamental factors and financial indicators on the realized volatility of West Texas Intermediate (WTI) crude oil price. A time-varying parameter vector autoregression model with stochastic volatility (TVP-VAR-SV) is applied to weekly data series spanning January 2008 to October 2021. It is found that the WTI oil price volatility responds positively to a shock in oil production, oil inventories, the US dollar index, and VIX but negatively to a shock in the US economic activity. The response to the EPU index was initially positive and then turned slightly negative before fading away. The VIX index has the most significant effect. Furthermore, the time-varying nature of the response of the WTI realized oil price volatility is evident. Extreme effects materialize during economic recessions and crises, especially during the COVID-19 pandemic. The findings can improve our understanding of the time-varying nature and determinants of WTI oil price volatility. © 2022

Quantile time-frequency connectedness between cryptocurrency volatility and renewable energy volatility during the COVID-19 pandemic and Ukraine-Russia conflicts

Our article employs a quantile vector autoregression (QVAR) to identify the connectedness of seven variables from April 1, 2019, to June 13, 2022, in order to examine the relationships between crypto volatility and energy volatility. Our findings reveal that the dynamic connectedness is approximately 25% in the short term and approximately 9% in the long term. The 50% quantile equates to the overall average connectedness of the entire period, according to dynamic net total directional connectedness over a quantile, which also indicates that connectedness is very intense for both highly positive changes (above the 80% quantile) and crypto and energy volatility (below the 20% quantile). With the exception of the early 2022 period when the Crypto Volatility Index transmits a net of shocks because of the Ukraine-Russia Conflict, dynamic net total directional connectedness implies that in the short term, the Crypto Volatility Index acts as a net shock receiver across time. While this indicator is a net shock receiver for long-term dynamics, wind energy is a net shock transmitter during the short term. Green bonds are a short-term net shock receiver. This role is valid in the long term. Clean energy and solar energy are the long-term net transmitters of shocks;nevertheless, the series is always and only momentarily a net receiver of shocks because of the short-term dynamics. Natural gas and crude oil play roles in both two quantiles. Dynamic net pairwise directional connectedness over a quantile suggests that uncertain events like the COVID-19 epidemic or Ukraine-Russia Conflict influence cryptocurrency volatility and renewable energy volatility. © 2022 Elsevier Ltd

Empirical Study of Real-time One-Stage Object Detection Methods on Recyclable Waste Dataset

One-stage object detection methods have proven their advantage in terms of both speed and accuracy for addressing vision tasks in real-time scenarios, including Recyclable Waste detection, which has become a prevalent topic during the COVID-19 pandemic. Previous research into this subject has faced many obstacles, mainly due to the requirement of detecting highly deformable and often translucent objects in cluttered scenes without the context information usually present in human-centric datasets. In this paper, we aim to explore the performance of state-of-the-art one-stage object detectors on ZeroWaste dataset, the first in-the-wild industrial-grade waste detection benchmark. Our experiments showed that recent one-stage detectors, namely the YOLO-based detectors, can obtain very competitive results on the benchmark. YOLOv7, thanks to its many improvements, is the current best performer at 33.2% mAP on the ZeroWaste benchmark, to the best of our knowledge. Implementation details are available at our GitHub repository. © 2022 IEEE.

Lightweight IoT-Based System for COVID-19 Patient Health Monitoring and Prediction

With the present Coronavirus disease (COVID-19) pandemic, Internet of Things (IoT)-based health monitoring devices are precious to COVID-19 patients. We present a real-time IoT-based health monitoring system that monitors patients' heart rate and oxygen saturation, the most significant measures necessary for critical care. Specifically, the proposed IoT-based system is built with Arduino Uno-based hardware and a web application for retrieving the patients' health information. In addition, we implement the Autoregressive Integrated Moving Average (ARIMA) method in the back-end server to predict future patient measurements based on current and past measurements. Compared to commercially available devices, the system's results are adequately accurate, with an acceptable RMSE for predicted value. © 2022 IEEE.

AI-based traffic counting: A Case Study in Vietnam

Ho Chi Minh City, particularly Vietnamese cities in general, is so busy and crowded since tremendous numbers of motorbikes move on roads. Ho Chi Minh City leaders have encountered several challenges in fully understanding and effectively dealing with problems of urban traffic for the past few decades. Software-based solutions are proper and dramatically necessary, currently. This paper presents the deployment of an AI-based application at the Ho Chi Minh City Department of Transportation. The paper mainly concentrates on traffic counting problems during the outbreak of the Covid-19 pandemic from June 2021. The performance of the AI-based application was compared with medical declaration data and achieved an accuracy of 93.80%. © 2022 IEEE.

Sovereign bonds and flight to safety: Implications of the COVID-19 crisis for sovereign debt markets in the G-7 and E-7 economies

This study investigates the implications of the COVID-19 pandemic for sovereign debt in the G-7 and E-7 economies and explores the notion of sovereign bonds as a safe haven. Using a set of panel regression and dynamic connectedness TVP-VAR approaches, our results reveal that the impact of COVID-19 global case numbers on sovereign bonds has been contingent on the level of the country's financial and economic development. More precisely, our findings suggest that G-7 countries, where economic development is typically higher, have seen a negative effect of the COVID-19 pandemic on sovereign bond yield: sovereign 10-year bond yields declined as the number of COVID-19 global confirmed cases increased in G-7 countries. However, in E-7 countries, where economic growth and development are typically lower, sovereign bond yields responded positively to the initial increase in COVID-19 global confirmed case numbers, but this positive effect is not statistically significant. We also find that the G-7 and E-7 economies have a strong time-varying connectedness in relation to their bond markets and this effect is more pronounced in G-7 economies. Daily Infectious Disease Equity Market Volatility is likely to be the strongest predictor of total connectedness. Concomitantly, we shed new light on the predictive power of the number of COVID-19 confirmed cases and deaths, and the Daily Infectious Disease Equity Market Volatility Tracker on the interdependence of these sovereign bond markets. Overall, this paper highlights the heterogeneous effect of the COVID-19 pandemic on sovereign bond yields in G-7 and E-7 countries and the notion that the developed economies, with their developed sovereign bond markets, are still seen as a safe haven during times of crisis. © 2023 The Authors

EMOTIONAL SOCIALIZATION IN TIMES OF DISRUPTION: A MIXED-METHODS CASE STUDY OF EMOTIONAL LABOR AMONG NONPROFIT EMPLOYEES DURING COVID-19

Purpose: Rarely is emotional labor explicitly discussed as a required aspect of crisis response work. While the gender inequities in withdrawal from the workforce emerging from the pandemic are well documented, we know little about the emotional toll of managing the ongoing disruption of the pandemic for women with different degrees of membership in organizations. Design: This research uses a dynamic mixed-methods approach in studying emotional labor among women during times of disruption. Specifically, we explore with surveys, daily diary entries, and semistructured interviews the emotional experiences of women working at a California-based nonprofit organization during the height of the COVID-19 pandemic. With our data, we are able to compare the emotional expectations and experiences of full-time (FT) and part-time (PT) employees. Findings: Results show differences in emotional experiences and labor by group membership, with FT employees reporting higher rates of surface acting: FT employees suppressed (28%) and inauthentically expressed (12%) emotions more often than PT employees (23% and 5%, respectively). Qualitative evidence suggests socialization is occurring more formally for FT employees and informally for PT employees, influencing perceived emotional expectations and subsequent emotional labor. Research Implications: The contributions to this volume focus on an under- studied topic in nonprofit management: Emotional experiences in times of disruption. Novel evidence on differing emotional experiences, particularly surface acting, as a function of group membership may motivate other research to disentangle issues of change management during crises. Practical Implications: These differing rates of surface acting have meaningful implications for burnout and retention of employees in a sector that is heavily reliant on voluntary and PT engagement. Thus, this work serves to provide organizational leadership and management insight on mechanisms shaping employee outcomes. Social Implications: The findings here have important implications for employee well-being and are crucial to the way individuals across society manage the stress of working during times of crisis. Originality/Value: PT work is subject to different emotional norms than FT work. These novel findings provide value to organizational leaders who oversee a workforce with varying degrees of group membership. © 2023 by Emerald Publishing Limited All rights of reproduction in any form reserved.